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Forecasting Travel Demand with Alternatively Structured Models of Trip Frequency

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  • Daniel A. Badoe

Abstract

This paper develops alternatively structured trip frequency/generation models, and investigates their forecast performance. The first model presented is the simple linear model with a discussion of its theoretical shortcomings. Models that address, in a progressive fashion, the underlying shortcomings of the linear model are then presented. These models are namely the truncated normal model, the Poisson model, the negative binomial model, and an ordered logit model. The modeling unit employed in the study is the individual. The models are assessed by how closely they are able to replicate trips produced by each individual in the dataset, and by each traffic zone. This assessment of performance in prediction is conducted on an estimation dataset collected in the Toronto Region in 1986, and on an independent dataset collected in the same geographic region, 10 years later, in 1996. The results show that, notwithstanding the simplicity of the simple linear model and its lack of an explicit underlying travel behavioral theory, it predicts travel in the base and forecast years with less error compared to any of the more complex models.

Suggested Citation

  • Daniel A. Badoe, 2007. "Forecasting Travel Demand with Alternatively Structured Models of Trip Frequency," Transportation Planning and Technology, Taylor & Francis Journals, vol. 30(5), pages 455-475, July.
  • Handle: RePEc:taf:transp:v:30:y:2007:i:5:p:455-475
    DOI: 10.1080/03081060701599938
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    Cited by:

    1. Hou, Yuting & Yap, Winston & Chua, Rochelle & Song, Siqi & Yuen, Belinda, 2020. "The associations between older adults’ daily travel pattern and objective and perceived built environment: A study of three neighbourhoods in Singapore," Transport Policy, Elsevier, vol. 99(C), pages 314-328.
    2. Middela, Mounisai Siddartha & Ramadurai, Gitakrishnan, 2024. "Effect of the measurement period and spatial dependence on the accuracy of urban freight trip generation models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    3. Matthew Roorda & Antonio Páez & Catherine Morency & Ruben Mercado & Steven Farber, 2010. "Trip generation of vulnerable populations in three Canadian cities: a spatial ordered probit approach," Transportation, Springer, vol. 37(3), pages 525-548, May.
    4. de Grange, Louis & Troncoso, Rodrigo & González, Felipe, 2012. "An empirical evaluation of the impact of three urban transportation policies on transit use," Transport Policy, Elsevier, vol. 22(C), pages 11-19.

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